Skip to content

1. Elasticsearch

What Will You Do

For this exercise,

  • You will configure and deploy Elasticsearch on your Kubernetes cluster managed by the Rafay Controller
  • You will use the official Helm chart for Elasticsearch

Assumptions

You have already provisioned or imported one or more Kubernetes clusters using the Rafay Controller

Step 1: Create and Configure Workload

  • Login into the Rafay Console
  • Click on "New Workload", provide a name
  • Select "Helm" for Package Type
  • Select a namespace where you would like to deploy.

Create Workload

Step 2: Upload Helm Chart

  • Upload the Helm chart file (TGZ format) for Elasticsearch that you downloaded from your preferred Helm repository such as Bitnami

Configure Helm Chart

Note

Users can download the helm chart in tgz format by using the helm client and issuing a command like "helm fetch stable/elasticsearch".

Step 3: Place and Deploy

  • Navigate to "Placement" and select the cluster where you would like to deploy

Placement

  • Navigate to the "Publish" and click on Publish.

Publish

Note

It can take approximately 3 minutes for the Elasticsearch Helm chart to transition from Pending to Published state.

Step 4: Debug

  • Once publish starts, click on "Debug"

You should see the pods for "Elasticsearch" get deployed on the selected cluster. Wait for the pods to transition to "Running" state.

You should see ~8 pods become operational for your Elasticsearch Helm chart application deployment.

Debug

Recap

Congratulations! You have successfully deployed Elasticsearch on your Rafay managed Kubernetes Cluster.